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Estimating Earnings Losses of Migrant Workers Due to COVID-19

While the wide-ranging impact of COVID-19 on incomes and livelihoods of people around the world will take some time to become known and understood, it is already clear that those who are in manual, mostly low-wage, occupations are among the worst-hit workers. This paper uses data from a sample surve...

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Detalles Bibliográficos
Autores principales: Abella, Manolo I., Sasikumar, S. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577360/
https://www.ncbi.nlm.nih.gov/pubmed/33106736
http://dx.doi.org/10.1007/s41027-020-00281-y
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author Abella, Manolo I.
Sasikumar, S. K.
author_facet Abella, Manolo I.
Sasikumar, S. K.
author_sort Abella, Manolo I.
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description While the wide-ranging impact of COVID-19 on incomes and livelihoods of people around the world will take some time to become known and understood, it is already clear that those who are in manual, mostly low-wage, occupations are among the worst-hit workers. This paper uses data from a sample survey of migrant workers to come up with useful parameters for estimating the potential losses from possible retrenchment of migrant workers due to the pandemic. The paper employs a simple estimation model using parameters derived from data collected from a KNOMAD-ILO survey of low-skilled migrant workers in the India–Saudi Arabia migration corridor, conducted during 2016–2017. An important finding is that the aggregate losses that low-skilled Indian workers in Saudi Arabia are likely to incur due to COVID-19-related retrenchment may be as high as 21% of their expected earnings. Adding recruitment costs can push up their losses to 36% of expected or potential earnings, while the aggregate remittances to their families could drop by USD 2 billion.
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spelling pubmed-75773602020-10-22 Estimating Earnings Losses of Migrant Workers Due to COVID-19 Abella, Manolo I. Sasikumar, S. K. Indian J Labour Econ Article While the wide-ranging impact of COVID-19 on incomes and livelihoods of people around the world will take some time to become known and understood, it is already clear that those who are in manual, mostly low-wage, occupations are among the worst-hit workers. This paper uses data from a sample survey of migrant workers to come up with useful parameters for estimating the potential losses from possible retrenchment of migrant workers due to the pandemic. The paper employs a simple estimation model using parameters derived from data collected from a KNOMAD-ILO survey of low-skilled migrant workers in the India–Saudi Arabia migration corridor, conducted during 2016–2017. An important finding is that the aggregate losses that low-skilled Indian workers in Saudi Arabia are likely to incur due to COVID-19-related retrenchment may be as high as 21% of their expected earnings. Adding recruitment costs can push up their losses to 36% of expected or potential earnings, while the aggregate remittances to their families could drop by USD 2 billion. Springer India 2020-10-21 2020 /pmc/articles/PMC7577360/ /pubmed/33106736 http://dx.doi.org/10.1007/s41027-020-00281-y Text en © Indian Society of Labour Economics 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Abella, Manolo I.
Sasikumar, S. K.
Estimating Earnings Losses of Migrant Workers Due to COVID-19
title Estimating Earnings Losses of Migrant Workers Due to COVID-19
title_full Estimating Earnings Losses of Migrant Workers Due to COVID-19
title_fullStr Estimating Earnings Losses of Migrant Workers Due to COVID-19
title_full_unstemmed Estimating Earnings Losses of Migrant Workers Due to COVID-19
title_short Estimating Earnings Losses of Migrant Workers Due to COVID-19
title_sort estimating earnings losses of migrant workers due to covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577360/
https://www.ncbi.nlm.nih.gov/pubmed/33106736
http://dx.doi.org/10.1007/s41027-020-00281-y
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